Cancer Genome Characterization Initiatives - Burkitt Lymphoma, HIV+ Cervical Cancer
Provided by: Center for Translational Data Science at The University of Chicago , part of the AWS Open Data Sponsorship Program
Provided by: Center for Translational Data Science at The University of Chicago , part of the AWS Open Data Sponsorship Program
Cancer Genome Characterization Initiatives - Burkitt Lymphoma, HIV+ Cervical Cancer
Provided by: Center for Translational Data Science at The University of Chicago , part of the AWS Open Data Sponsorship Program
Provided by: Center for Translational Data Science at The University of Chicago , part of the AWS Open Data Sponsorship Program
This product is part of the AWS Open Data Sponsorship Program and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the AWS Open Data Sponsorship Program are not provided and maintained by AWS.
Description
The Cancer Genome Characterization Initiatives (CGCI) program supports cutting-edge genomics research of adult and pediatric cancers. CGCI investigators develop and apply advanced sequencing methods that examine genomes, exomes, and transcriptomes within various types of tumors. The program includes Burkitt Lymphoma Genome Sequencing Project (BLGSP) project and HIV+ Tumor Molecular Characterization Project - Cervical Cancer (HTMCP-CC) project. The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, and miRNA Expression Quantification data. This dataset also contains controlled WGS/Targeted Sequencing/RNA-Seq/miRNA-Seq Aligned Reads, and RNA-Seq Splice Junction Quantification
License
NIH Genomic Data Sharing Policy: https://gdc.cancer.gov/access-data/data-access-policies
Documentation
How to cite
Cancer Genome Characterization Initiatives - Burkitt Lymphoma, HIV+ Cervical Cancer was accessed on DATE from https://registry.opendata.aws/cgci .
Update frequency
Genomic Data Commons (GDC) is source of truth for this dataset; GDC offers monthly data releases,
although this dataset may not be updated at every release.
Support information
Contact: dcf-support@datacommons.io
General AWS Data Exchange support
Resources on AWS
Description
Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::gdc-cgci-blgsp-phs000235-2-openAWS Region
us-east-1AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://gdc-cgci-blgsp-phs000235-2-open/Description
Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::gdc-cgci-phs000235-2-openAWS Region
us-east-1AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://gdc-cgci-phs000235-2-open/Description
WGS/Targeted Sequencing/RNA-Seq/miRNA-Seq Aligned Reads, RNA-Seq Splice Junction Quantification
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::gdc-cgci-phs000235-2-controlledAWS Region
us-east-1Usage examples
Publications
- Genome-wide discovery of somatic coding and noncoding mutations in pediatric endemic and sporadic Burkitt lymphoma by Grande B. M., Gerhard D. S., Jiang A., Griner N. B., Abramson J. S., Alexander T. B., et al.
Tools & Applications